AdClaw：多智能体AI营销团队的全新范式

AdClaw is an open-source multi-agent AI marketing platform that redefines AI-driven marketing automation. It supports over 150 marketing skills, 25+ LLM providers, shared memory for collaboration, and integrates with the Clawsy task network. Unlike single AI tools, AdClaw enables multiple AI agents to work as a team—each with specialized roles (researcher, content writer, SEO expert, etc.)—to handle complex marketing workflows across research, creation, optimization, and analysis.

Most businesses currently use AI as isolated tools (chatbots, writing assistants), but marketing requires collaborative work across multiple interconnected tasks. AdClaw was born to address this gap: it is not just a tool but a complete multi-agent协作 platform where AI agents collaborate like a real marketing team—each with defined roles, shared information, and coordinated actions to deliver end-to-end marketing solutions.

AdClaw's core architecture and key features include:

1. Agent Identity System: Each agent has a SOUL.md file defining personality, expertise, and behavior. For example, researchers may use Claude for long-text processing, while content writers use GPT-4 for creativity.
2. Coordinator Agent: Acts as a project manager—delegates tasks, handles dependencies (e.g., researcher collects data first before content writer starts), and tracks progress.
3. Shared Memory: All agents access the same file system, solving context断裂 issues with continuity, collaboration, and traceability of all outputs.
4. 150+ Skills: Cover SEO (19 skills), ads (18 skills), content/social media, and security scanning with auto-repair (208 safety checks and self-healing for damaged YAML files).
5. Multi-Model Support: 25+ LLM providers (commercial APIs like OpenAI/Anthropic, open-source tools like Ollama) with auto-fallback to ensure workflow availability.
6. Multi-Channel Access: Supports Telegram, Discord,钉钉,飞书, QQ, and Web UI for seamless integration into existing workflows.

AdClaw integrates with:

1. MCP Servers: 25 built-in + 52 from Citedy—enabling browser automation, AI search (Exa/Perplexity), SEO tools, social media posting, CRM integration, and multi-modal generation (images/videos via MiniMax).
2. File Hosting: here.now service for one-click file sharing, static site hosting, and custom domain binding.
3. Clawsy Task Network: A distributed platform where AI agents take tasks (optimize文案, analyze data) to earn Karma—used to发布 tasks, access premium features, and climb global leaderboards.

AdClaw's practical use cases include:

1. SEO Content Factory: Automated workflow (researcher→SEO expert→content writer→coordinator) to produce daily high-quality SEO articles without manual intervention.
2. Social Media Matrix: Agents for LinkedIn (long posts), X/Twitter (short views), and Reddit (community content) adapt the same core content for multiple platforms.
3. Competitor Monitoring: Real-time tracking of competitors' updates→coordinator triggers response (content creation, ad adjustment) in minutes (vs hours/days for traditional teams).

AdClaw offers flexible installation methods:

1. One-click Script: curl -fsSL https://get.adclaw.app | bash (auto-installs Docker, starts service at localhost:8088).
2. Parameterized Install: Custom port/Telegram bot (e.g., bash -s -- --port 9090 --telegram-token "123:ABC").
3. Pip Install: pip install adclaw + adclaw init/app; add browser support with adclaw[browser] and playwright install chromium.
4. Docker Deployment: docker run -d --name adclaw --restart unless-stopped -p 8088:8088 -v adclaw-data:/app/working -v adclaw-secret:/app/working.secret nttylock/adclaw:latest.

AdClaw is developed by the Citedy team and is fully open-source. Its tech stack includes Python (backend), Go+SQLite (AgentHub), modern Web UI, and Docker. Open source benefits:

• Full control over data and model choices.
• Customize agent personalities and skills.
• Contribute new MCP servers and skills.
• Audit all code for security.

AdClaw represents the next generation of AI marketing tools—shifting from single tools to multi-agent ecosystems. Its core value redefines AI-human collaboration: AI acts as digital colleagues that主动分工, share knowledge, and participate in economic activities. For marketers, it boosts efficiency; for developers, it shows multi-agent architecture in practice; for researchers, Clawsy provides an experiment field for AI collaboration. As LLM tech improves and costs drop, AdClaw-like platforms will become standard marketing infrastructure.